In my last blog I tried to define the concept of insight. In this post I discuss insight generation. Insights are generated by systematically and exhaustively examining a) the output of various analytic models (including predictive, benchmarking, outlier-detection models, etc.) generated from a body of data, and b) the content and structure of the models themselves. Insight generation is a process that takes place together with model generation, but is separate from the decisioning process during which the generated models, as well as the insights and their associated action plans are applied on new data.